Lead Java Developer - Vice President - Software Engineering at Morgan Stanley

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Agile, Big Data, Surveillance Tools, DevOps, SDLC, Trading Domain, Database, Hadoop, Databricks, Snowflake, Scala, Python, XML, Unix, Web Applications

Industry

Financial Services

Description

Work closely with the local/global colleagues, and internal clients within the department, the candidate will be involved in all stages of the development life cycle. Partner with internal clients, and the rest of the team to establish/agree on requirements and systems functionality, delivering value incrementally through pragmatic Agile practices Design and implement relevant surveillance models or analysis tools, leveraging big data platforms Deploy, maintain and performance tune relevant surveillance tools, and take accountability for production performance, in partnership with Production Management teams, to maximize efficiency, stability and ultimately business value Promote the use of modern technologies, adhering with the firm's technical direction. Drive the modernization initiatives and decommission of legacy products within the team Establish and promote SDLC and architecture best practices, in line with departmental and divisional guidance, along with a strong focus in DevOPS/SRE principles in partnership with support and central engineering teams. 10+ Yrs. Of career experience with Java backend development. High quality software architecture and design methodologies and patterns. Experience in Trading domain will be preferred. Complete SDLC process and Agile mindset and methodology (Scrum or Kanban) Database experience preferably with DB2, Sybase, or Oracle. Knowledge on Hadoop, Databricks, Snowflake (or other cloud based big data solutions). At least 6 years' relevant experience would generally be expected to find the skills required for this role Previous experience in trade surveillance, electronic trading or working with data from the order, quote, trade, risk transaction lifecycles within Equity or Fixed Income. Experience of Scala or Python on Spark. XML-based technologies. Unix OS, Scripting, Python or notebook type technologies. Experience in development on other application types (Web applications, batch, or streaming). Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Responsibilities

The candidate will be involved in all stages of the development life cycle, partnering with internal clients to establish requirements and deliver value incrementally. They will also design and implement surveillance models, maintain performance, and drive modernization initiatives within the team.